13 - 14 August, 2019 | Novotel Sydney on Darling Harbour, Sydney, NSW
Dr. Haydn Read, Chief Data & Analytics Officer - New Ventures at Stats NZ

Dr. Haydn Read

Chief Data & Analytics Officer - New Ventures
Stats NZ

Check out the incredible speaker line-up to see who will be joining Haydn.

Download The Latest Agenda

Pre-Conference Workshops: Monday, 12 August 2019

Sunday, December 8th, 2019


This workshop explores the barriers that prevent organisations from progressing with AI investments and to identify the pain points within the journey to map out a strategic and actionable vision. This vision must bring together all the divisions within the organisation and break down the traditional frameworks and approaches and explore outside of one’s expertise.

In this workshop, participants will walk away with:
  • A clearer vision of their AI growth strategy and how to address the pain points along the journey
  • Identifying and capitalizing on internal resources and capabilities
  • A framework for data standards tailored to the needs of their organisations


Conference Day One: Tuesday, 13 August 2019

Tuesday, August 13th, 2019

1:50 PM CASE STUDY: Removing Harmful Predators In NZ - An Analytics and Visualisation Platform at the Department of Conservation NZ

The Department of Conservation in NZ is partnering with a number of not-for-profit, private and public sector partners to support New Zealand’s agenda and drive for a ‘Predator Free NZ by 2050’’. The partnership includes, amongst others, The Instillery and Amazon Web Services (AWS), as well as a number of important local government and LWI partners. Given the geographical location of NZ, predators i.e. stoats, weasels, ferrets, hedgehogs and others, have long posed a threat to the nation’s biodiversity which is now, in some places, at high risk of extinction.

Through these partnerships, there is a team of dedicated professionals leveraging cloud capabilities to analyse big biodiversity data sets collected and analysed across each and every trap and property in NZ. In this session, gain insight into:

  • Applying algorithms that uses captured big data assets from every property in New Zealand and visualizing it into actionable insights for future investment decisions
  • Developing a roadmap based on current predator control campaigns and programs to target high risk environments
  • Insights into investment decisions and long term commitments to meet the outcomes being sought by Predator Free 2050
  • Pain points around technologies needed to achieve ‘Predator-Free NZ’ by 3050